Remote Sensing of Land Surface Phenology: Editorial-Reference-Cited by-同舟云学术

Remote Sensing of Land Surface Phenology: Editorial

Published:2022-09-01 Issue:17 Volume:14 Page:4310
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Ma Xuanlong^ORCID,Jin Jiaxin^ORCID,Zhu Xiaolin^ORCID,Zhou Yuke^ORCID,Xie Qiaoyun^ORCID

Abstract

Land surface phenology (LSP) is an important research field in terrestrial remote sensing and has become an indispensable approach in global change research, as evidenced by many important scientific findings supported by LSP in recent decades [...]

Funder

National Natural Science Foundation of China

Natural Science Foundation of Gansu Province, China

Fundamental Research Funds for the Central Universities

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

https://www.mdpi.com/2072-4292/14/17/4310/pdf

Reference30 articles.

1. Seasonal Ecosystem Productivity in a Seasonally Dry Tropical Forest (Caatinga) Using Flux Tower Measurements and Remote Sensing Data

2. WUE and CO2 Estimations by Eddy Covariance and Remote Sensing in Different Tropical Biomes

3. Remote Sensing Phenology of the Brazilian Caatinga and Its Environmental Drivers

4. Phenological Changes of Mongolian Oak Depending on the Micro-Climate Changes Due to Urbanization

5. Quantification of Urban Heat Island-Induced Contribution to Advance in Spring Phenology: A Case Study in Hangzhou, China

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1. Integrated use of field sensors, PhenoCam, and satellite data for pheno-phase monitoring in a tropical deciduous forest of Dalma Wildlife Sanctuary, Jharkhand, India: initial results from the Indian Phenology Network;Biodiversity and Conservation;2024-07-30